Shu-Chin Yip
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Protein Tyrosine Phosphatases
Papers in
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- Cellular Mechanics and Interactions 2
- Cellular transport and secretion 1
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- PI3K/AKT/mTOR signaling in cancer 3
- Protein Kinase Regulation and GTPase Signaling 3
- Protein Tyrosine Phosphatases 1
- Co-authors
- Jonathan Backer (10 shared papers)John S. Condeelis (6 shared papers)Keith Ashman (1 shared paper)Michael Derek Waterfield (1 shared paper)Savvas Christoforidis (1 shared paper)Matthias S. Wilm (1 shared paper)Marino Zerial (1 shared paper)Liyun Zhao (1 shared paper)
- Journals
- The Journal of Cell Biology (3 papers)Journal of Biological Chemistry (3 papers)Journal of Cell Science (1 paper)Biochemical Journal (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Shu-Chin Yip
11 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 54
- Cell Biology 472
- Molecular Biology 366
- Immunology and Allergy 15
- Cellular and Molecular Neuroscience 28
- Modeling and Simulation 8
Countries citing papers authored by Shu-Chin Yip
This map shows the geographic impact of Shu-Chin Yip's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shu-Chin Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu-Chin Yip more than expected).
Fields of papers citing papers by Shu-Chin Yip
This network shows the impact of papers produced by Shu-Chin Yip. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shu-Chin Yip. The network helps show where Shu-Chin Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu-Chin Yip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 525 | |
| 2 | 2007 | 213 | |
| 3 | 2004 | 201 | |
| 4 | 2008 | 81 | |
| 5 | 2009 | 81 | |
| 6 | 2000 | 78 | |
| 7 | 2005 | 72 | |
| 8 | 2007 | 58 | |
| 9 | 2003 | 41 | |
| 10 | 2008 | 35 | |
| 11 | 2001 | 22 |
About Shu-Chin Yip
Shu-Chin Yip is a scholar working on Cell Biology, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cellular Mechanics and Interactions (2 papers), Cellular transport and secretion (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Cell Biology (472 citations), Molecular Biology (366 citations), Immunology and Allergy (15 citations), Cellular and Molecular Neuroscience (28 citations) and Modeling and Simulation (8 citations). Shu-Chin Yip has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jonathan Backer, John S. Condeelis, Keith Ashman, Michael Derek Waterfield, Savvas Christoforidis, Matthias S. Wilm, Marino Zerial, Liyun Zhao, Marta Miączyńska and Robert J. Eddy. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Journal of Cell Science, Biochemical Journal and Experimental Cell Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.